Senior Associate Model Implementation & Data Management

Job Title:Senior Associate Model Implementation & Data Management

Location: Abu Dhabi

Role Purpose:

• The role requires very strong technical and communication skills.
• Manage risk data including data capturing organizing storing and analyzing for development validation and implementation of Risk Rating Models and Scorecards.
• Conduct risk analytics and generate comprehensive risk reports.
• Provide advanced quantitative analytics support to the overall Risk Management function.
• Formulating management techniques for quality data collection to ensure adequacy accuracy and legitimacy of data.
• Engaging in Risk Architecture projects include implementation of various risk IT applications data analytics data flows standards and processes.
• Strong knowledge of Information Technology systems Risk Management systems tools applications and relational database management system. Software development and ability to code.
• Develop and implement AI analytics to analyze risk data. Use machine learning techniques to identify patterns trends and potential risks including exploration data analysis and data quality and trend assessment
• Design data tracking and monitoring tools. Analyze and validate data ensuring data security.
• Ensure all data management and AI analytics practices comply with relevant regulations and organizational policies

Key accountabilities / responsibilities:

• Manage and maintain data for risk models implementation and scorecards development.
• Oversee Credit Risk management processes including Basel II and IFRS9 compliance.
• Conduct risk analytics and generate comprehensive risk reports.
• Utilize statistical tools such as SAS R and Python for data analysis and model development.
• Write advanced SQL queries to extract manipulate and analyze data.
• Develop and implement data science machine learning and artificial intelligence solutions to enhance risk management processes.
• Apply techniques such as generative AI classification regression clustering and other related methods.
• Collaborate with cross-functional teams to ensure data integrity and accuracy.
• Communicate findings and insights effectively to stakeholders.
• Foster a collaborative and team-oriented work environment.
• Stay updated with industry trends and advancements in AI and data analytics.
• Continuously seeking opportunities to enhance risk management processes

Education and experience:

• Minimum 3 years of total experience in handling data management projects data science machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting
• Bachelors degree in computer science Engineering Information Systems or a related field.
• Masters degree is preferred

Specialist skills / technical knowledge required for this role:

• Experience working with large and complex data sets including alternative data (bureau open banking etc.) for credit models.
• Experience in Credit Risk modelling and Risk analytics preferred.
• Experience with data science machine learning and artificial intelligence techniques including generative AI classification regression and clustering.
• Possess strong quantitative skills and solid experience in developing validating and monitoring risk models. Knowledge of the credit scoring systems available in the market and their use.
• Advanced user of statistical software (such as SAS and R or Python and SQL)
• Good knowledge of handling Risk Technologies & its implementation.
• Ability to work independently on multiple tasks and/or projects.
• Excellent oral and written communication skills in English.
• Proficiency in risk concepts banking products/ operations/ systems pertinent regulatory requirements
• Flexible team player and able to work and deliver under pressure.